1from apify_client import ApifyClient
2
3
4
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7
8run_input = {
9 "liPostUrl": "https://www.linkedin.com/posts/example-user_example-topic-ugcPost-1234567890123456789-example/",
10 "profileId": "example-profile-id",
11 "li_at": "example_li_at",
12 "JSESSIONID": "ajax:example",
13 "bcookie": "example_bcookie",
14 "liap": "true",
15 "li_theme_set": "app",
16 "li_theme": "light",
17 "timezone": "Asia/Kolkata",
18 "bscookie": "example_bscookie",
19 "user-agent": "Mozilla/5.0 ...",
20 "timezoneOffset": "5.5",
21 "csrf-token": "example_csrf-token",
22 "User-Agent": "Mozilla/5.0 ...",
23 "x-li-track": "{\"clientVersion\":\"1.13.455\"}",
24 "x-li-lang": "en_US",
25 "X-Restli-Protocol-Version": "2.0.0",
26 "txSmSelfProfileUrl": "https://www.linkedin.com/in/example-self/",
27 "proxy": {
28 "ip": "http://proxy.example.com",
29 "port": "1080",
30 "username": "example_username",
31 "password": "example_password",
32 },
33}
34
35
36run = client.actor("automationagents/linkedin-post-scraper").call(run_input=run_input)
37
38
39print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
40for item in client.dataset(run["defaultDatasetId"]).iterate_items():
41 print(item)
42
43